基于机会约束规划的电力电量平衡分析
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(1.国网上海市电力公司市北供电公司,上海 200072;2.上海电力学院电气工程学院,上海 200090)

作者简介:

夏 澍(1987—),男,博士,工程师,研究方向为电力系统运行、分析与控制;E-mail:870828@ncepu.edu.cn
葛晓琳(1988—),女,博士,讲师,研究方向为电力优化调度;E-mail:gexiaolin2005@126.com
季海华(1983—),男,硕士,高级工程师,研究方向为电力系统运行、分析与控制。E-mail:penguim0803@gmail.com

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基金项目:

上海高校青年教师培养资助计划(ZZsdl15096);国家电网公司科技项目资助(520914160018)


Power supply-demand balancing analysis based on chance-constrained programming
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(1. Shibei Electricity Supply Company, State Grid Shanghai Municipal Electric Power Company, Shanghai 200072, China;2. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

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    摘要:

    统筹考虑跨区电力电量交换和用电侧调节能力,以弥补电力电量缺口的调整措施费用最小为目标,提出了一种电力电量平衡分析优化模型。考虑到水库调度计划和检修计划对机组发电能力的影响,模型中构建了水库调度和机组检修相关约束,使得电力电量分析结果更为合理。为了恰当考虑负荷、来水和风电的随机性,模型利用机会约束规划理论将系统电力、电量约束以及水量平衡约束表示成了概率形式,并推导出了概率模型的确定化表示形式。通过实际系统的仿真计算,验证了所提模型的合理性和方法的有效性。

    Abstract:

    Considering the cross-exchange capacity of electric power and energy and the regulation of side electricity, an optimization model for electric power and energy balance analysis is proposed to minimize the cost of adjustment measures. Taking into account the impact of reservoir operation plan and maintenance plan for the unit generating capacity, reservoir operation and unit maintenance-related constraints are constructed in the model, such that the power consumption analysis results are more reasonable. In order to deal with randomness of the load, runoff, and wind power appropriately, electric power constraint, energy constraint and water balance constraint are expressed in the form of probability based on chance-constrained programming. Then in the solution process, the stochastic model is transferred to the determined model. Simulation results of actual systems verify the rationality and efficiency of the proposed method.

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夏澍,葛晓琳,季海华,等.基于机会约束规划的电力电量平衡分析[J].电力系统保护与控制,2017,45(18):102-107.[XIA Shu, GE Xiaolin, JI Haihua, et al. Power supply-demand balancing analysis based on chance-constrained programming[J]. Power System Protection and Control,2017,V45(18):102-107]

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  • 收稿日期:2016-08-21
  • 最后修改日期:2016-10-22
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  • 在线发布日期: 2017-09-14
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